- AutorIn
- Franz Baader LuFg Theoretical Computer Science, RWTH Aachen
- Ralf KüstersLuFg Theoretical Computer Science, RWTH Aachen
- Ralf MolitorLuFg Theoretical Computer Science, RWTH Aachen
- Titel
- Computing Least Common Subsumer in Description Logics with Existential Restrictions
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-788300
- Schriftenreihe
- LTCS-Report
- Bandnummer
- 98-09
- Erstveröffentlichung
- 1998
- DOI
- https://doi.org/10.25368/2022.85
- Abstract (EN)
- Computing the least common subsumer (lcs) is an inference task that can be used to support the \bottom-up' construction of knowledge bases for KR systems based on description logics. Previous work on how to compute the lcs has concentrated on description logics that allow for universal value restrictions, but not for existential restrictions. The main new contribution of this paper is the treatment of description logics with existential restrictions. More precisely, we show that, for the description logic ALE (which allows for conjunction, universal value restrictions, existential restrictions, negation of atomic concepts, as well as the top and the bottom concept), the lcs always exists and can efiectively be computed. Our approach for computing the lcs is based on an appropriate representation of concept descriptions by certain trees, and a characterization of subsumption by homomorphisms between these trees. The lcs operation then corresponds to the product operation on trees.
- An abridged version of this technical report is published in the Proceedings of IJCAI'99.
- Freie Schlagwörter (DE)
- Beschreibungslogiken, existenzielle Beschränkungen, kleinste gemeinsame Untermenge
- Freie Schlagwörter (EN)
- description logics, existential restrictions, least common subsumer
- Klassifikation (DDC)
- 004
- Klassifikation (RVK)
- ST 136
- Publizierende Institution
- Aachen University of Technology, Aachen
- Version / Begutachtungsstatus
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-788300
- Veröffentlichungsdatum Qucosa
- 20.05.2022
- Dokumenttyp
- Bericht
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0